| Job Code | : | GITAS-3219-03 |
| Job Title | : | Physical Property Data Manager |
| Department | : | IT Application Services LEI |
| Role Definition | : | Roles at this level are individual contributors that participates in technical design, development, implementation and support of application systems for specific area |
| Key Role & Responsibility | : | Application Development -Implements full software development lifecycle(SDLC) for small to mid size IT projects or part of software development lifecycle(SDLC) for large IT projects with minimum supervision Issues management -Maintains and troubleshoots the application systems ensuring minimum downtime -Identifies and understands the Business requirements in terms of system support and functionalities for all the departments -Coordinates with the Business functions for any upgradation/ modifications required in the system or any new developments -Provides the technical assistance & coordinates with the Application users for streamlining & successful execution of different Business system processes -Manages that the service level requests(L1, L2 & L3) are handled within time and delivered Documentation -Contributes in preparing business application blueprints and reports to facilitate different business units -Creates project requests, change requests, status reports for business to review |
| Additional Responsibility | : | Output quality and schedule adherence -Coding quality (as per standard defined by Microsoft, SAP) -Project contribution -Support level and complexity |
| Education qualification & Experience | : | - B.E./ M.C.A./M.B.A (IT) with Minimum 5+ years of experience in application development OR - Diploma / B.C.A. with Minimum 7+ years of experience in application development -Minimum 1 years of experience in Software project management |
| Technical Knowledge | : | • Education as Thermodynamicist, Chemist, Chemical Engineer, Physicist, Lab Technician or similar professional level with respect to physical properties, experimental methods, and scientific literature. • Experience with experimental measurement techniques and according uncertainty calculation methods is helpful. • Experiences with basic IT tools for data handling (Text Editors, Office, Databases, xml, JSON) is mandatory. • Experiences with advanced IT tools (Regular Expressions, SQL, Programming Languages (e.g. Python), XML/JSON schemata) is appreciated. • Experience with IT storage and processing of thermo-data (e.g. ThermoML) is helpful. • Experience with data entry and according quality measures is appreciated |
| Preferred SkillSet | : | o Capable of understanding existing systems and suggesting improvements o Self-disciplined and organized to work independently o Global communication o User support o Design new masks and functions |
